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Author SHA1 Message Date
orbisai0security 788505311a
Merge 8607169546 into dddedc6881 2026-05-07 17:27:23 +05:30
jingyaogong dddedc6881 [fix] repetition_penalty 2026-05-07 19:08:52 +08:00
orbisai0security 8607169546 fix: V-001 security vulnerability
Automated security fix generated by Orbis Security AI
2026-05-05 07:51:07 +00:00
2 changed files with 13 additions and 3 deletions

View File

@ -266,7 +266,8 @@ class MiniMindForCausalLM(PreTrainedModel, GenerationMixin):
attention_mask = torch.cat([attention_mask, attention_mask.new_ones(attention_mask.shape[0], 1)], -1) if attention_mask is not None else None
logits = outputs.logits[:, -1, :] / temperature
if repetition_penalty != 1.0:
for i in range(input_ids.shape[0]): logits[i, torch.unique(input_ids[i])] /= repetition_penalty
for i in range(input_ids.shape[0]):
seen = torch.unique(input_ids[i]); score = logits[i, seen]; logits[i, seen] = torch.where(score > 0, score / repetition_penalty, score * repetition_penalty)
if top_k > 0:
logits[logits < torch.topk(logits, top_k)[0][..., -1, None]] = -float('inf')
if top_p < 1.0:

View File

@ -13,8 +13,9 @@ import uvicorn
from threading import Thread
from queue import Queue
from fastapi import FastAPI, HTTPException
from fastapi import FastAPI, HTTPException, Depends
from fastapi.responses import StreamingResponse
from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
from pydantic import BaseModel
from transformers import AutoTokenizer, AutoModelForCausalLM, TextStreamer
from model.model_minimind import MiniMindConfig, MiniMindForCausalLM
@ -24,6 +25,14 @@ warnings.filterwarnings('ignore')
app = FastAPI()
_security = HTTPBearer(auto_error=False)
def _verify_api_key(credentials: HTTPAuthorizationCredentials = Depends(_security)):
api_key = os.environ.get("MINIMIND_API_KEY")
if api_key and (credentials is None or credentials.credentials != api_key):
raise HTTPException(status_code=401, detail="Invalid or missing API key")
def init_model(args):
tokenizer = AutoTokenizer.from_pretrained(args.load_from)
@ -169,7 +178,7 @@ def generate_stream_response(messages, temperature, top_p, max_tokens, tools=Non
@app.post("/v1/chat/completions")
async def chat_completions(request: ChatRequest):
async def chat_completions(request: ChatRequest, _: None = Depends(_verify_api_key)):
try:
if request.stream:
return StreamingResponse(